Human behavior analysis on political retweets using machine learning algorithms

Title

Human behavior analysis on political retweets using machine learning algorithms

Creator

Patel H.; Kansara A.; Prathap B.R.; Pradeep Kumar K.

Description

The exponential rise in the use of social media has resulted in a massive increase in the volume of unstructured text created. This content is presented through messages, conversations, postings, and blogs. Microblogging has become a popular way for people to share what they are thinking. Many people express their thoughts on various issues relating to their hobbies. As a result, microblogging websites have become a valuable resource for opinion mining and sentiment research. Twitter is a well-known microblogging network, with over 500 million new tweets posted daily. The goal of this study was to mine tweets for political sentiments. The extraction of tweets relating to India's well-known political leaders of different states & parties in India and applying the polarity detection analysis of human behavior on the retweeted messages As a result, the sentiment classification algorithm is designed to determine whether tweets are more likely to predict the popularity of certain politicians among the general public. The subjectivity and polarity present in the tweets of political leaders are compared. The engagements of these leaders are then taken into account to determine their popularity. All these comparisons are then portrayed using data visualizations. 2023 The Authors

Source

Measurement: Sensors, Vol-27

Date

2023-01-01

Publisher

Elsevier Ltd

Subject

Computing methodologies; Machine learning algorithms; Opinion mining; Political retweet; Text classification; Twitter

Coverage

Patel H., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Kansara A., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Prathap B.R., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Pradeep Kumar K., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India

Rights

All Open Access; Gold Open Access

Relation

ISSN: 26659174

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1016/j.measen.2023.100768

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159549912&doi=10.1016%2fj.measen.2023.100768&partnerID=40&md5=0516f247ac6bde0122cef2a57c2c0a1f